{"id":"W3022707816","doi":"10.12968/opti.2018.2.6870","title":"Osmolarity: an overview","year":2018,"lang":"en","type":"article","venue":"Optician","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009684559,0.00007154683,0.0001355462,0.00002881809,0.00005833263,0.00001874536,0.000053465,0.00005677436,0.000542513],"category_scores_gemma":[0.00002245065,0.00006196312,0.00004717303,0.00009190831,0.00003856217,0.00008556652,0.00001850884,0.00008488391,0.0008265144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886834,"about_ca_system_score_gemma":0.00005400581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007931901,"about_ca_topic_score_gemma":0.0001268139,"domain_scores_codex":[0.9994584,0.00001714816,0.00008653707,0.0001418298,0.0001263497,0.000169715],"domain_scores_gemma":[0.9994419,0.000005334661,0.00001795029,0.0003347545,0.00007343282,0.0001266096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004364438,0.001508985,0.475132,0.0003251161,0.0004352168,0.0007719156,0.002709081,5.782659e-7,0.05751339,0.1187215,0.002067238,0.3403786],"study_design_scores_gemma":[0.001560614,0.002537976,0.3950344,0.0002500505,0.0002809927,0.00004092102,0.0004065418,0.0005029435,0.01372584,0.001201843,0.5840821,0.0003758343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949275,0.0007230012,0.0000722019,0.001080925,0.0001853912,0.0001184885,0.000001751893,0.00006774358,0.04847553],"genre_scores_gemma":[0.9915535,0.00006666635,0.002400368,0.004008142,0.0004556416,0.000002198111,0.00000917262,0.00001648074,0.001487844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5820148,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05525732255525564,"score_gpt":0.3413896363276669,"score_spread":0.2861323137724113,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}